7 resultados para Chinese data

em Academic Research Repository at Institute of Developing Economies


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International production fragmentation has been a global trend for decades, becoming especially important in Asia where the manufacturing process is fragmented into stages and dispersed around the region. This paper examines the effects of input and output tariff reductions on labor demand elasticities at the firm level. For this purpose, we consider a simple heterogenous firm model in which firms are allowed to export their products and to use imported intermediate inputs. The model predicts that only productive firms can use imported intermediate inputs (outsourcing) and tend to have larger constant-output labor demand elasticities. Input tariff reductions would lower the factor shares of labor for these productive firms and raise conditional labor demand elasticities further. We test these empirical predictions, constructing Chinese firm-level panel data over the 2000--2006 period. Controlling for potential tariff endogeneity by instruments, our empirical studies generally support these predictions.

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It is widely recognized that trade credit is an important financial mechanism, particularly in developing economies and transition economies where institutions are weak. This paper documents theoretical analysis and empirical accounts on what facilitates an effective supply of trade credit based on original surveys conducted in P.R. of China. Our theory predicts that trade volume and trade credit are increasing function of cash held by the buyer and enforcement technology of the seller. Furthermore, if the state sector’s enforcement technology is high, it has positive external effect to expand the volumes of trade credit and trades in the whole economy. From the data, we found that government made active commitment in enforcement of trade credit contract and the government owned firms are main supplier and receivers of trade credit, which suggest that enforcement by government and state sector were effective against presumptions in the previous literatures.

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With regression formulas replaced by equilibrium conditions, a spatial CGE model can substantially reduce data requirements. Detailed regional analyses are thus possible in countries where only limited regional statistics are available. While regional price differentials play important roles in multi-regional settings, transport does not receive much attention in existing models. This paper formulates a spatial CGE model that explicitly considers the transport sector and FOB/CIF prices. After describing the model, performance of our model is evaluated by comparing the benchmark equilibrium for China with survey-based regional I-O and interregional I-O tables for 1987. The structure of Chinese economies is summarized using information obtained from the benchmark equilibrium computation. This includes regional and sectoral production distributions and price differentials. The equilibrium for 1997 facilitates discussion of changes in regional economic structures that China has experienced in the decade.

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This study analyzes the effect of fiscal decentralization on health outcomes in China using a panel data set with nationwide county-level data. We find that counties in more fiscal decentralized provinces have lower infant mortality rates compared to those counties in which the provincial government retains the main spending authority, if certain conditions are met. Spending responsibilities at the local level need to be matched with county government's own fiscal capacity. For those local governments that have only limited revenues, their ability to spend on local public goods such as health care depends crucially upon intergovernmental transfers. The findings of this study thereby support the common assertion that fiscal decentralization can indeed lead to more efficient production of local public goods, but also highlights the necessary conditions to make this happen.

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In this paper I re-examined the trade enhancing effects of ethnic Chinese networks, found by Rauch and Trindade (2002), on a newer and extended data set. The effects are estimated by the gravity equation with the product of the population ratio (or absolute number) of the ethnic Chinese in both the importing and exporting countries, and are reaffirmed positive and statistically significant. I also compared the effects of two different ethnic Japanese networks, i.e., the networks of long-term Japanese stayers in foreign countries, and the networks of permanent Japanese residents in foreign countries. It is found that the former has stronger trade enhancing effects than the latter. This shows that the effects of ethnic networks on international trade can be generalized beyond the ethnic Chinese, and the ’cohesiveness’ of the ethnic network matters to the trade enhancing effects of the network.

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A large scale Chinese agricultural survey was conducted at the direction of John Lossing Buck from 1929 through 1933. At the end of the 1990’s, some parts of the original micro data of Buck’s survey were discovered at Nanjing Agricultural University. An international joint study was begun to restore micro data of Buck’s survey and construct parts of the micro database on both the crop yield survey and special expenditure survey. This paper includes a summary of the characteristics of farmlands and cropping patterns in crop yield micro data that covered 2,102 farmers in 20 counties of 9 provinces. In order to test the classical hypothesis of whether or not an inverse relationship between land productivity and cultivated area may be observed in developing countries, a Box-Cox transformation test was conducted for functional forms on five main crops of Buck’s crop yield survey. The result of the test shows that the relationship between land productivity and cultivated areas of wheat and barley is linear and somewhat negative; those of rice, rapeseed, and seed cotton appear to be slightly positive. It can be tentatively concluded that the relationship between cultivated area and land productivity are not the same among crops, and the difference of labor intensity and the level of commercialization of each crop may be strongly related to the existence or non-existence of inverse relationships.

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Using an augmented Chinese input–output table in which information about firm ownership and type of traded goods are explicitly reported, we show that ignoring firm heterogeneity causes embodied CO2 emissions in Chinese exports to be overestimated by 20% at the national level, with huge differences at the sector level, for 2007. This is because different types of firm that are allocated to the same sector of the conventional Chinese input–output table vary greatly in terms of market share, production technology and carbon intensity. This overestimation of export-related carbon emissions would be even higher if it were not for the fact that 80% of CO2 emissions embodied in exports of foreign-owned firms are, in fact, emitted by Chinese-owned firms upstream of the supply chain. The main reason is that the largest CO2 emitter, the electricity sector located upstream in Chinese domestic supply chains, is strongly dominated by Chinese-owned firms with very high carbon intensity.